12 Barriers To Real-Time Analytics - InformationWeek

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Data Management // Big Data Analytics
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7/12/2016
07:06 AM
Lisa Morgan
Lisa Morgan
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12 Barriers To Real-Time Analytics

As organizations look to stay competitive by expanding their use of real-time analytics, implementation becomes a challenge. Finding options to effectively serve your company over the long term is often more difficult than it appears. We've identified 12 common obstacles you'll want to avoid as your company pursues real-time analytics.
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Nobody Knows What Real-Time Really Means 

Business executives are attracted to vendors who pitch the promise of real-time analytics software without all the IT headaches and policies. It seems simple enough. Regardless of who is purchasing and implementing real-time analytics capabilities, it is wise to understand what users consider real-time, because their definitions can differ by one or more orders of magnitude. 
'Real-time means instantaneous, but we believe real time is as [fast] as possible. Most importantly, [it's] as real time as the customer needs,' said Graham Clark of NIIT. 'A financial services trading company might be obsessed with microseconds and nanoseconds. A customer looking for a cheap airline ticket might have a two-month window. Start with the customer need and evolve accordingly.' 
(Image: skeeze via Pixabay)

Nobody Knows What Real-Time Really Means

Business executives are attracted to vendors who pitch the promise of real-time analytics software without all the IT headaches and policies. It seems simple enough. Regardless of who is purchasing and implementing real-time analytics capabilities, it is wise to understand what users consider real-time, because their definitions can differ by one or more orders of magnitude.

"Real-time means instantaneous, but we believe real time is as [fast] as possible. Most importantly, [it's] as real time as the customer needs," said Graham Clark of NIIT. "A financial services trading company might be obsessed with microseconds and nanoseconds. A customer looking for a cheap airline ticket might have a two-month window. Start with the customer need and evolve accordingly."

(Image: skeeze via Pixabay)

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